Revisiting the Ocean Color Algorithms for Particulate Organic Carbon and Chlorophyll‐a Concentrations in the Ross Sea
Revisiting the Ocean Color Algorithms for Particulate Organic Carbon and Chlorophyll‐a Concentrations in the Ross Sea
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DOI：
10.1029/2021jc017749
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发表时间：
2021-08
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影响因子：
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通讯作者：
Shuangling Chen;W. Smith;Xiaolei Yu
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作者：
Shuangling Chen;W. Smith;Xiaolei Yu
罗斯海是南大洋生产力最高的边缘海，在碳循环中发挥着重要作用。然而，对来自研究探险的叶绿素a(Chl)和颗粒有机碳(POC)浓度的有限采样限制了我们对那里生物地球化学过程的理解。卫星为区域和全球尺度的地表水属性天气图绘制提供了一个有用的工具，但已发表的算法在罗斯海的普遍适用性却鲜为人知。基于过去20年18个航次的数据，我们分析了NASA标准和当地开发的适用于罗斯海的CHL和POC算法。结果表明，在较大范围的Chl(0.42-16.3mgm−3)和POC(46.8-812mgm−3)范围内，−和POC的平均偏差分别为3.48mgm−3和159.1 mg m−3，而标准算法则明显低估了Chl和POC，其均方根差分别为4.72mgm−3和218.0 mg m−3。在罗斯海适用的其他算法也发现了类似的糟糕性能。我们在本地调整了CHL和POC算法，并发现基于RRS667的方法在检索CHL和POC两者方面表现出最稳健的性能，
The Ross Sea is the most productive marginal sea in the Southern Ocean and plays an important role in carbon cycling. However, limited sampling of Chlorophyll-a (Chl) and particulate organic carbon (POC) concentrations from research expeditions constrains our understanding of the biogeochemical processes there. Satellites provide a useful tool for synoptic mapping of surface water properties on regional and global scales, yet the general applicability of the published algorithms in the Ross Sea is poorly known. Based on the data collected from 18 cruises in the past 20 years, we analyzed both the NASA standard and locally developed Chl and POC algorithms applicable to the Ross Sea. Our results show that Chl and POC are markedly underestimated using the NASA standard algorithms, with root mean square difference (RMSD) of 4.72 mg m −3 and 218.0 mg m −3 , and mean bias of −3.48 mg m −3 and −159.1 mg m −3 , for a wide range of Chl (0.42–16.3 mg m −3 ) and POC (46.8–812 mg m −3 ). Similar poor performances were also found for other algorithms applicable in the Ross Sea. We locally tuned both Chl and POC algorithms, and found that the Rrs667-based approach showed the most robust performances in retrieving both Chl and POC,